feat(questions): make brand questions the primary monitoring & template axis

- add /questions/combination-fill endpoint with AI-driven, IP-region-aware matrix fill
- extract ip2region resolver from ops/app into shared/ipregion for cross-service use
- thread question_id filter through dashboard composite, citation summary, and collect-now
- switch template wizard from keyword inputs to brand-question selection (primary + supplemental)
- pass brand_question and supplemental_questions through assist/title/outline prompts
- add AiWaitingModal + 45s client timeout and request_timeout error mapping for long AI flows

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

server/internal/shared/swagger/descriptions.go

@@ -178,6 +178,7 @@ var routeDocs = map[string]routeDoc{
 	"GET /api/tenant/brands/:id/questions":                      {"品牌问题列表", "返回品牌下的监控问题，可按 keyword_id 过滤。"},
 	"POST /api/tenant/brands/:id/questions":                     {"新增监控问题", "为品牌添加一条 GEO 监控问题。"},
 	"POST /api/tenant/brands/:id/questions/combination-preview": {"拓词工具预览", "按地域词、前缀词、核心词、行业词、后缀词组合生成问题候选，仅预览不入库。"},
+	"POST /api/tenant/brands/:id/questions/combination-fill":    {"拓词工具 AI 填词", "根据用户 IP 本地识别地域，并结合品牌信息补全拓词工具的五列词组。"},
 	"POST /api/tenant/brands/:id/questions/ai-distill":          {"AI 扩展问题", "围绕品牌和主题生成问题候选，使用结构化输出并按 AI 点计费。"},
 	"POST /api/tenant/brands/:id/questions/classify-metadata":   {"问题元数据分类", "批量为问题文本推断 layer 和 intent 元数据。"},
 	"POST /api/tenant/brands/:id/questions/materialize":         {"保存问题候选", "将用户选中的问题候选保存到当前品牌问题集，执行配额、去重和审计。"},

server/internal/shared/swagger/swagger.go

@@ -320,9 +320,9 @@ func queryParameterNames(route gin.RouteInfo) []string {
 	case strings.Contains(path, "/tenant/brands") && strings.Contains(path, "/questions"):
 		add("keyword_id")
 	case strings.Contains(path, "/tenant/monitoring/dashboard/composite"):
-		add("brand_id", "keyword_id", "days", "business_date", "ai_platform_id")
+		add("brand_id", "keyword_id", "question_id", "days", "business_date", "ai_platform_id")
 	case strings.Contains(path, "/tenant/monitoring/citation-summary"):
-		add("days")
+		add("days", "brand_id", "keyword_id", "question_id", "business_date", "ai_platform_id")
 	case strings.Contains(path, "/tenant/monitoring/brands/"):
 		add("ai_platform_id", "date_from", "date_to", "question_hash")
 	case strings.Contains(path, "/tenant/kol/marketplace/packages"):
@@ -359,7 +359,7 @@ func schemaForQueryParameter(name string) map[string]any {
 	switch name {
 	case "page", "page_size", "limit", "offset", "days", "period_days":
 		return map[string]any{"type": "integer"}
-	case "brand_id", "keyword_id", "template_id", "kol_prompt_id", "prompt_rule_id", "group_id", "folder_id", "if_sync_version":
+	case "brand_id", "keyword_id", "question_id", "template_id", "kol_prompt_id", "prompt_rule_id", "group_id", "folder_id", "if_sync_version":
 		return map[string]any{"type": "integer", "format": "int64"}
 	case "force":
 		return map[string]any{"type": "string", "enum": []string{"1"}}